Senior Insurance Risk Analyst (Hybrid)

Placements24; Midrand; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Medical aid and retirement fund

Performance bonuses

Professional development and certs

Team-building events

Job summary

Placements24 is seeking a Senior Insurance Risk Assessor in Midrand, Gauteng. The role blends on-site collaboration with remote flexibility to manage risk across life, health, property and casualty lines.

You will lead advanced modelling, data analysis and strategic risk recommendations for a forward-thinking financial services organisation. The ideal candidate holds a quantitative degree with 5–7 years in risk roles, and strong skills in R, Python or SAS, plus regulatory knowledge such as

Qualifications

• Bachelor's in a quantitative field is required.
• 5–7 years in insurance risk, underwriting, or actuarial roles.
• Proficient in R, Python or SAS for modelling.

Responsibilities

• Develop and implement advanced risk assessment models for insurance products.
• Analyze large datasets to identify risk factors and trends across lines.
• Review underwriting policies and claims data to assess exposure and suggest adjustments.
• Collaborate with actuarial, underwriting, and claims teams on risk management strategies.
• Prepare detailed risk reports and presentations for senior management.

Skills

R

Python

SAS

Excel

PowerPoint

Data analysis

Education

Bachelor's degree in Actuarial Science/Statistics/Math/Finance/Economics

Master's degree

Tools

Solvency II knowledge

Job description

Placements24 is seeking a Senior Insurance Risk Assessor in Midrand, Gauteng. The role blends on-site collaboration with remote flexibility to manage risk across life, health, property and casualty lines.

You will lead advanced modelling, data analysis and strategic risk recommendations for a forward-thinking financial services organisation. The ideal candidate holds a quantitative degree with 5–7 years in risk roles, and strong skills in R, Python or SAS, plus regulatory knowledge such as